Director, Marketing Analytics

Responsibilities

• We are looking for a Director, Marketing Analytics to translate our marketing intelligence strategy into operational excellence and commercial impact. You will lead a multidisciplinary analytics team across data engineering, analytics engineering, visualization, and data science workflows. Sitting at the intersection of marketing strategy, revenue operations, and data engineering, you will serve as a trusted partner to Sales, RevOps, Finance, Product-Led Growth (PLG), and Enterprise Data.
• You will build our marketing intelligence system. This will focus on three key areas. First, you will optimize how we allocate capital. You will use solid ROI and incrementality frameworks for this. Second, you will identify growth insights by finding predictive buyer and expansion signals. Finally, you will promote data clarity. This involves ensuring we have a well-governed, transparent single source of truth. Grounded in open, explainable attribution models, you will streamline organization-wide decision-making and help fuel long-term growth across the entire customer lifecycle.
• Customer Journeys & Predictive Signals: Build customer journey frameworks in partnership with Marketing Ops to model the "moments that matter", while overseeing the deployment of predictive buyer intent and expansion signals to growth and sales teams.
• Cross-Functional Alignment & Visualizations: Partner across Sales, RevOps, Finance, and PLG to align on shared metrics, delivering executive-ready visualizations (Tableau) and data-backed stories that simplify planning, execution, and course correction.
• Team Leadership & Capacity Governance: Guide, mentor, and orchestrate a multidisciplinary analytics team, establishing clear intake triage processes that shield team capacity for high-impact strategic milestones.
• 10+ years of leadership experience managing multidisciplinary analytics teams, with a track record of unifying data engineers, analytics engineers, data scientists, and BI analysts toward shared commercial goals.
• Data Governance & Taxonomy Expertise: Demonstrated success designing information architectures, metric dictionaries, and governance standards that support automation and AI tools.
• Executive Storytelling & Cross-Functional Orchestration: Exceptional ability to translate complex quantitative models into clear economic narratives and strategic recommendations for executive leadership.
• Hands-on experience operationalizing predictive machine learning models (e.g., lead scoring, propensity models, churn risk) directly into Salesforce for seller actioning.
• Experience building measurement frameworks for partner-sourced, partner-influenced, or hyperscaler marketplace revenue.

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